Consistencies and inconsistencies between model selection and link prediction in networks. Predicting Disease-Gene Associations using Cross-Document Graph-based Features. Channel masking for multivariate time series shapelets. Design of the Artificial: lessons from the biological roots of general intelligence. An ILP Solver for Multi-label MRFs wit …

One-Shot Coresets: The Case of k-Clustering. R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. Robust Photometric Stereo via Dictionary Learning. Non-rigid image registration using fully convolutional networks with deep self-supervision. An Improved Oscillating-Error Classifier with Branching. Optimal Rates for Learning with N …

Budgeted Experiment Design for Causal Structure Learning. Neural Network Based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction. Deep Learning-Based Communication Over the Air. A GRU-Gated Attention Model for Neural Machine Translation. BLADE: Filter Learning for General Purpose Computational Photography. Adversarial …

Learning to Optimize Neural Nets. Query-guided Regression Network with Context Policy for Phrase Grounding. Parameter Reference Loss for Unsupervised Domain Adaptation. Insulin Regimen ML-based control for T2DM patients. From source to target and back: symmetric bi-directional adaptive GAN. Power Systems Data Fusion based on Belief Propagation. Lif …

Optimism-Based Adaptive Regulation of Linear-Quadratic Systems. Analogy Mining for Specific Design Needs. Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation. Modular Continual Learning in a Unified Visual Environment. Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method. When Kernel Methods meet Fe …

Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure. Learning Contextually Informed Representations for Linear-Time Discourse Parsing. NLPSA at IJCNLP-2017 Task 2: Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment Analysis. Remarks on epistemically biased questions. BTG-based Machin …

Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules. A parallel collection of clinical trials in Portuguese and English. Dynamic Importance Sampling for Anytime Bounds of the Partition Function. Identification of Risk Factors in Clinical Texts through Association Rules. Stochastic Mirror Descent in Varia …

Fast Forward Through Opportunistic Incremental Meaning Representation Construction. Improving Coverage of an Inuktitut Morphological Analyzer Using a Segmental Recurrent Neural Network. Multi-Class Optimal Margin Distribution Machine. Evaluating the Variance of Likelihood-Ratio Gradient Estimators. The Code2Text Challenge: Text Generation in Source …

Distributed Document and Phrase Co-embeddings for Descriptive Clustering. Study on Visual Word Recognition in Bangla across Different Reader Groups. Uncorrelation and Evenness: a New Diversity-Promoting Regularizer. Selective Inference for Sparse High-Order Interaction Models. 基於i-vector與PLDA並使用GMM-HMM強制對位之自動語者分段標記系統 (Speaker Diarization based on I …

A Report on the 2017 Native Language Identification Shared Task. Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings. Native Language Identification Using a Mixture of Character and Word N-grams. Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters. Elucidating Concept …

Tokyo Metropolitan University Neural Machine Translation System for WAT 2017. Discourse-Wide Extraction of Assay Frames from the Biological Literature. ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization. Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication. A Hierarchical Neural Mo …

community2vec: Vector representations of online communities encode semantic relationships. Key-value Attention Mechanism for Neural Machine Translation. Character and Subword-Based Word Representation for Neural Language Modeling Prediction. Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neura …